A Novel Bayesian Outlier Score Based on the Negative Binomial Distribution for Detecting Aberrantly Expressed Genes in RNA-Seq Gene Expression Count Data

A Novel Bayesian Outlier Score Based on the Negative Binomial Distribution for Detecting Aberrantly Expressed Genes in RNA-Seq Gene Expression Count Data

The Negative Binomial distribution (NBD) is used for modeling many types of count data, including gene expression counts obtained by RNA sequencing technologies (RNA-Seq). Finding outliers in this type of data has been shown in recent research to help in identifying rare genetic disorders in humans....

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Bibliographic Details
Main Authors: Edin Salkovic, Halima Bensmail
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Bayesian model
Bayesian outlier score
gene expression
Gibbs sampling
Mendelian disorder
negative binomial distribution
Online Access:https://ieeexplore.ieee.org/document/9437176/

Internet

https://ieeexplore.ieee.org/document/9437176/

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